About the Role
As an AI Security Architect, you will be part of the Architecture & Delivery (A&D) team, driving secure architecture and end‐to‐end solution design. The focus is on Generative AI (GenAI) and Machine Learning (ML) initiatives where secure reference architectures and designs are essential.
Key Responsibilities
* Embed security‐by‐design across AI models, data, APIs, and integrations to ensure systems are resilient, compliant, and scalable.
* Champion DevSecOps and strong application security practices in all projects.
* Create secure solution‐architecture artifacts for AI/ML initiatives, from design through to operations handover.
* Perform AI‐specific threat modelling (e.g. adversarial attacks, prompt injection, model/data leakage) and enforce secure patterns.
* Develop and maintain reusable AI security reference architectures and patterns, aligned with enterprise architecture and regulatory requirements.
* Provide technical leadership and guidance to stakeholders, promoting adoption of secure AI / integration patterns.
* Maintain architecture documentation and relevant tools (e.g. LeanIX).
Ideal Candidate Profile
* Deep experience in enterprise solution architecture with AI/ML systems and cloud‐native platforms (AWS, Azure, etc.).
* Proven experience in security architecture and integration patterns.
* Comfortable working in agile / DevSecOps contexts.
* Excellent communication, stakeholder management, and problem‐solving skills.
Preferred Knowledge
* Familiarity with GenAI security patterns (e.g. LLM baseline protections, SaaS GenAI integration).
* Understanding of regulatory / AI security frameworks (Australian Privacy Act, GDPR, NIST CSF, OWASP AI/LLM Top 10, and MITRE ATLAS).
* Strong knowledge of integration styles like REST APIs, event‐driven architectures (Kafka, GraphQL, API Gateway).
* Application security tools / practices such as SAST, DAST, CI/CD.
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